Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2019.05.025 |
Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity | |
Jia, Xingcan1,2; Liu, Yangang2; Ding, Deping3; Ma, Xincheng3; Chen, Yichen3; Bi, Kai3; Tian, Ping3; Lu, Chunsong4; Quan, Jiannong1 | |
2019-11-01 | |
发表期刊 | ATMOSPHERIC RESEARCH
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ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 228页码:176-185 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Addressing solid precipitation poses additional challenges compared to warm rain due to complex hydrometeor shapes involved, including the dependence of fall velocity on hydrometeor sizes, hydrometeor size distributions, and hydrometeor classification. This study is an extension of our previous work (Niu et al. 2010) to address these challenges by combining measurements from a PARSIVEL disdrometer, microscope photography, and millimeter wavelength cloud radar. The combined measurements are analyzed to classify the precipitation hydrometeor types, examine the dependence of fall velocity on hydrometeor sizes for different hydrometeor types, and determine the best distributions to describe the hydrometeor size distributions of different hydrometeor types. The results show: (1) Hydrometeors can be classified to four main types of raindrop, graupel, snowflake and mixedphase according to the dependence of terminal velocity on sizes, corresponding microscope photos and cloud radar observations; (2) There are significant scatters in fall velocity for a given hydrometer size velocities, and the fall velocity spread for the solid hydrometeors appear wider than that for raindrops across hydrometeor sizes, with that for the mixed-phase precipitation being largest, suggesting that the effects of hydrometeor shape on hydrometeor fall velocities; (3) Hydrometeor size distributions for the four types can all be well described by the Gamma or Weibull distribution; Weibull (Gamma) distribution performs better when skewness is less (larger) than 2. |
英文关键词 | Hydrometeor fall velocity Hydrometeor size distribution PARSIVEL disdrometer Microscope photography Cloud radar |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477686700015 |
WOS关键词 | OPTICAL DISDROMETER ; RAINDROP SPECTRA ; ICE CRYSTALS ; SNOWFALL ; SPEED ; CLASSIFICATION ; REFLECTIVITY ; SNOWFLAKE ; KURTOSIS ; WATER |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187873 |
专题 | 地球科学 |
作者单位 | 1.Chinese Meteorol Adm, Inst Urban Meteorol, Beijing 100089, Peoples R China; 2.Brookhaven Natl Lab, Upton, NY 11973 USA; 3.Beijing Weather Modificat Off, Beijing 100089, Peoples R China; 4.Nanjing Univ Informat Sci & Technol, Nanjing 210044, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Jia, Xingcan,Liu, Yangang,Ding, Deping,et al. Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity[J]. ATMOSPHERIC RESEARCH,2019,228:176-185. |
APA | Jia, Xingcan.,Liu, Yangang.,Ding, Deping.,Ma, Xincheng.,Chen, Yichen.,...&Quan, Jiannong.(2019).Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity.ATMOSPHERIC RESEARCH,228,176-185. |
MLA | Jia, Xingcan,et al."Combining disdrometer, microscopic photography, and cloud radar to study distributions of hydrometeor types, size and fall velocity".ATMOSPHERIC RESEARCH 228(2019):176-185. |
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